HyperAI超神经

Node Classification On Roman Empire

评估指标

Accuracy (% )

评测结果

各个模型在此基准测试上的表现结果

比较表格
模型名称Accuracy (% )
polynormer-polynomial-expressive-graph92.55±0.37
holonets-spectral-convolutions-do-extend-to92.24±0.43
mixture-of-experts-meets-decoupled-message87.29±0.60
hyperaggregation-aggregating-over-graph-edges92.27±0.57
mixture-of-experts-meets-decoupled-message85.05±0.55
mixture-of-experts-meets-decoupled-message86.00±0.45
classic-gnns-are-strong-baselines-reassessing91.27±0.20